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Agent Skill · AI 工具

skill-evaluator(技能评估员)

skill-evaluator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

skill-evaluator 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 1,095。

总安装 1,162周安装 47GitHub Stars 382下载 365核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skill-evaluator(技能评估员)
来源仓库:https://github.com/gotalab/skillport
仓库路径:skills/skill-evaluator
安装命令:
npx skills add https://github.com/gotalab/skillport --skill skill-evaluator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/gotalab/skillport --skill skill-evaluator

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

skill-evaluator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕项目状态进行整理。适用于查询变更内容、辅助创建协作事项或将仓库信息转化为可执行步骤。使用时需区分只读查询与写入操作,涉及 PR 或分支推送时应确认 token 权限。

通过 npx skills add 命令从 GitHub 安装,建议核实是否会触发文件读写或命令执行。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/skill-evaluator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/gotalab/skillport --skill skill-evaluator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-evaluator 怎么安装?

在终端执行 npx skills add https://github.com/gotalab/skillport --skill skill-evaluator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-evaluator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skill-evaluator 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

skill-evaluator 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

skill-evaluator 用的人多吗?

公开数据是累计安装 1,162 次,近一周安装 47 次,下载 365 次,GitHub 382 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skill-evaluator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
skill-evaluator

技能评估员 · 本页

1,162382只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Skill Evaluator (WIP)

Evaluates skills against Anthropic's official best practices for agent skill authoring. Produces structured evaluation reports with scores and actionable recommendations.

Quick Start

  1. Read the skill's SKILL.md and understand its purpose
  2. Run automated validation: scripts/validate_skill.py <skill-path>
  3. Perform manual evaluation against criteria below
  4. Generate evaluation report with scores and recommendations

Evaluation Workflow

Step 1: Automated Validation

Run the validation script first:

scripts/validate_skill.py <path/to/skill>

This checks:

  • SKILL.md exists with valid YAML frontmatter
  • Name follows conventions (lowercase, hyphens, max 64 chars)
  • Description is present and under 1024 chars
  • Body is under 500 lines
  • File references are one-level deep

Step 2: Manual Evaluation

Evaluate each dimension and assign a score (1-5):

A. Naming (Weight: 10%)
ScoreCriteria
5Gerund form (-ing), clear purpose, memorable
4Descriptive, follows conventions
3Acceptable but could be clearer
2Vague or misleading
1Violates naming rules

Rules: Max 64 chars, lowercase + numbers + hyphens only, no reserved words (anthropic, claude), no XML tags.

Good: processing-pdfs, analyzing-spreadsheets, building-dashboards Bad: pdf, my-skill, ClaudeHelper, anthropic-tools

B. Description (Weight: 20%)
ScoreCriteria
5Clear functionality + specific activation triggers + third person
4Good description with some triggers
3Adequate but missing triggers or vague
2Too brief or unclear purpose
1Missing or unhelpful

Must include: What the skill does AND when to use it. Good: "Extracts text from PDFs. Use when working with PDF documents for text extraction, form parsing, or content analysis." Bad: "A skill for PDFs." or "Helps with documents."

C. Content Quality (Weight: 30%)
ScoreCriteria
5Concise, assumes Claude intelligence, actionable instructions
4Generally good, minor verbosity
3Some unnecessary explanations or redundancy
2Overly verbose or confusing
1Bloated, explains obvious concepts

Ask: "Does Claude really need this explanation?" Remove anything Claude already knows.

D. Structure & Organization (Weight: 25%)
ScoreCriteria
5Excellent progressive disclosure, clear navigation, optimal length
4Good organization, appropriate file splits
3Acceptable but could be better organized
2Poor organization, missing references, or bloated SKILL.md
1No structure, everything dumped in SKILL.md

Check:

  • SKILL.md under 500 lines
  • References are one-level deep (no nested chains)
  • Long reference files (>100 lines) have table of contents
  • Uses forward slashes in all paths
E. Degrees of Freedom (Weight: 10%)
ScoreCriteria
5Perfect match: high freedom for flexible tasks, low for fragile operations
4Generally appropriate freedom levels
3Acceptable but could be better calibrated
2Mismatched: too rigid or too loose
1Completely wrong freedom level for the task type

Guideline:

  • High freedom (text): Multiple valid approaches, context-dependent
  • Medium freedom (parameterized): Preferred pattern exists, some variation OK
  • Low freedom (specific scripts): Fragile operations, exact sequence required
F. Anti-Pattern Check (Weight: 5%)

Deduct points for each anti-pattern found:

  • Too many options without clear recommendation (-1)
  • Time-sensitive information with date conditionals (-1)
  • Inconsistent terminology (-1)
  • Windows-style paths (backslashes) (-1)
  • Deeply nested references (more than one level) (-2)
  • Scripts that punt error handling to Claude (-1)
  • Magic numbers without justification (-1)

Step 3: Generate Report

Use this template:

# Skill Evaluation Report: [skill-name]

## Summary
- **Overall Score**: X.X/5.0
- **Recommendation**: [Ready for publication / Needs minor improvements / Needs major revision]

## Dimension Scores
| Dimension | Score | Weight | Weighted |
|-----------|-------|--------|----------|
| Naming | X/5 | 10% | X.XX |
| Description | X/5 | 20% | X.XX |
| Content Quality | X/5 | 30% | X.XX |
| Structure | X/5 | 25% | X.XX |
| Degrees of Freedom | X/5 | 10% | X.XX |
| Anti-Patterns | X/5 | 5% | X.XX |
| **Total** | | 100% | **X.XX** |

## Strengths
- [List 2-3 things done well]

## Areas for Improvement
- [List specific issues with actionable fixes]

## Anti-Patterns Found
- [List any anti-patterns detected]

## Recommendations
1. [Priority 1 fix]
2. [Priority 2 fix]
3. [Priority 3 fix]

## Pre-Publication Checklist
- [ ] Description is specific with activation triggers
- [ ] SKILL.md under 500 lines
- [ ] One-level-deep file references
- [ ] Forward slashes in all paths
- [ ] No time-sensitive information
- [ ] Consistent terminology
- [ ] Concrete examples provided
- [ ] Scripts handle errors explicitly
- [ ] All configuration values justified
- [ ] Required packages listed
- [ ] Tested with Haiku, Sonnet, Opus

Score Interpretation

Score RangeRatingAction
4.5 - 5.0ExcellentReady for publication
4.0 - 4.4GoodMinor improvements recommended
3.0 - 3.9AcceptableSeveral improvements needed
2.0 - 2.9Needs WorkMajor revision required
1.0 - 1.9PoorFundamental redesign needed

References

Examples

See evaluations/ for example evaluation scenarios.

平台分布

Claude Code

30.14%
按下载量换算110

Cursor

23.66%
按下载量换算86

OpenCode

19.2%
按下载量换算70

Codex

11.92%
按下载量换算44

Gemini CLI

7.79%
按下载量换算28

Antigravity

3.74%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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